On the first day of the Digital Innovators Summit (DIS) in Berlin next week Linda Ligios, managing editor of the Springwise innovation intelligence company, revealed the findings of a new innovation report into AI and the future of work.
A recent McKinsey report found that globally around half of the work people are paid to do could theoretically be automated using technology that already exists. Yet, as overall spending on technology grows, this will also create millions of new jobs in new areas of work such as climate adaptation. In a World Economic Forum survey of global Human Resource Departments, 44 per cent said that the principal driver of change in the workplace is new technologies which enable remote working, co-working space and teleconferencing.
One of the key focusses of artificial intelligence in business centres around a branch of AI known as Deep Learning. It is deep learning algorithms for example that allow some types of chatbots to ask and answer customers’ questions, cars to learn how to drive themselves, and companies like Facebook to develop sophisticated photo recognition software.
Focussing on 10 key AI deep learning areas, the specialised report will introduce readers to case studies from the following sectors:
- In Japan, an artificial intelligence has been appointed creative director: AI-CD β is a robot that is being treated as an actual employee in an ad agency.
- EU police forces trialling AI detectives: VALCRI, an AI algorithm, processes criminal databases and other data sets, suggesting lines of inquiry to aid police, and may even be able to pre-empt crime.
- AI design service can automate a full branding package: Algorithmic logo-maker startup uses natural language processing to help business automatically generate stylish and personalized branding that fits their company.
- Startup connects brands with influencers using machine learning: Bay area startup, Sapie Space, uses machine learning to enable brands to find relevant in influencers and help them make a personal connection.
- Software uses big data to predict court decisions: Predictice is an app that provides lawyers with statistics and data on the likely outcome of commercial and social disputes, based on the history of the courts.
- AI assistant helps detect heart attacks on emergency services calls: Corti helps medical personnel make critical decisions in the heat of the moment on calls to emergency services.
- AI powered shopping trolleys automatically charge customers: New Zealand supermarket uses smart trolleys to recognize products and automatically charge customers.
- Automated sales assistant responds in natural language: Salewhale's virtual sales assistant algorithms process and analyse promising inbound customers interactions.
- Adding emotional intelligence to AI: Emotibot combines deep-learning AI, image and text-based recognition software to offer an open-source API for more emotionally aware chatbots.
- AI recruiter does all the tedious tasks: A new recruitment chatbot helps each candidate with their job search while streamlining the process for employers.
The information has been compiled by the Springwise Editorial team, supported by a network of over 20,000 ‘Springspotters’ in 190+ countries. One of the big fears that people have when discussing deep learning is that computers will take over decision-making functions, making humans obsolete in even highly-skilled areas of work. However, a better model for using AI may be that of a partnership, in which AI performs the rote and repetitive aspects of data analysis, while humans decide how the data is used. The Springwise AI innovation report provides tangible examples on how such partnerships are already being implemented in the marketplace today.